docstr: Normalized Laplacian eigenvalues
docstr_tok: ["Normalized","Laplacian","eigenvalues"]
code: def test_normalized_laplacian_spectrum(self):
      "Normalized Laplacian eigenvalues"
      evals = np.array([0, 0, 0.7712864461218, 1.5, 1.7287135538781])
      e = sorted(nx.normalized_laplacian_spectrum(self.G))
      np.testing.assert_almost_equal(e, evals)
      e = sorted(nx.normalized_laplacian_spectrum(self.WG, weight=None))
      np.testing.assert_almost_equal(e, evals)
      e = sorted(nx.normalized_laplacian_spectrum(self.WG))
      np.testing.assert_almost_equal(e, evals)
      e = sorted(
          nx.normalized_laplacian_spectrum(self.WG, weight="other")
      )
      np.testing.assert_almost_equal(e, evals)
  
file_path: networkx/networkx/linalg/tests/test_spectrum.py
imports: import pytest
  import networkx
  from networkx.generators.degree_seq import havel_hakimi_graph
label_desc: Use image node_id 3 for calling the TestSpectrum obj's underlying member method code with example usage: obj.test_normalized_laplacian_spectrum() without return types